Published July 24, 2006 | Version v1
Journal article

Chaos synchronization of two stochastically coupled random Boolean networks

  • 1. Department of Physics, National Sun Yat-sen University, Kaohsiung, Taiwan (China) and Nonlinear Science Group, Department of Physics, National Kaohsiung Normal University, Kaohsiung, Taiwan (China)
  • 2. Nonlinear Science Group, Department of Physics, National Kaohsiung Normal University, Kaohsiung, Taiwan (China)
  • 3. Department of Physics and Geoscience, National Pingtung University of Education, Pingtung, Taiwan (China)
  • 4. Department of Physics, National Sun Yat-sen University, Kaohsiung, Taiwan (China)

Description

In this Letter, we study the chaos synchronization of two stochastically coupled random Boolean networks (RBNs). Instead of using the 'site-by-site and all-to-all' coupling, the coupling mechanism we consider here is that: the nth cell in a network is linked by an arbitrarily chosen cell in the other network with probability ρ, and it possesses no links with probability 1-ρ. The mechanism is useful to investigate the coevolution of biological species via horizontal genetic exchange. We show that the density evolution of networks can be described by two deterministic coupled polynomial maps. The complete synchronization occurs when the coupling parameter exceeds a critical value. Moreover, the reverse bifurcations in inhomogeneous condition are observed and under our discussion

Additional details

Identifiers

DOI
10.1016/j.physleta.2006.03.025;
PII
S0375-9601(06)00401-4;

Publishing Information

Journal Title
Physics Letters. A
Journal Volume
356
Journal Issue
1
Journal Page Range
p. 35-43
ISSN
0375-9601
CODEN
PYLAAG

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
38066983
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
BIFURCATION; CHAOS THEORY; EVOLUTION; MAPS; NETWORK ANALYSIS; POLYNOMIALS; PROBABILITY; RANDOMNESS; SYNCHRONIZATION
Descriptors DEC
FUNCTIONS; MATHEMATICS

Optional Information

Copyright
Copyright (c) 2006 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.